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Some new information measures for fuzzy sets
TLDR
A new informative measure for discrimination between two fuzzy sets is introduced and it is shown that this discriminating measure reduces to the nonprobabilistic entropy of Deluca and Termini under a special condition. Expand
Genetic Algorithm with Elitist Model and Its Convergence
TLDR
It has been shown that an EGA converges to the global optimal solution with any choice of initial population, and mutation operation has been found to be essential for convergence. Expand
Fuzzy divergence, probability measure of fuzzy events and image thresholding
TLDR
A tailored version of the probability measure of a fuzzy event is used for image segmentation and its application to clustering problems is indicated and applied to an object extraction problem. Expand
Image thresholding: Some new techniques
TLDR
Two algorithms based on a new conditional entropy measure of a partitioned image have been formulated using the Poisson distribution for the gray level instead of the commonly used normal distribution and are found to produce good results. Expand
Genetic algorithms for optimal image enhancement
TLDR
This work is an attempt to demonstrate genetic algorithms adaptivity and effectiveness for searching global optimal solutions in selecting an appropriate image enhancement operator automatically. Expand
Genetic algorithms with fuzzy fitness function for object extraction using cellular networks
TLDR
The present paper provides a methodology, demonstrating the capability of Genetic Algorithms with a fuzzy fitness function, for automatic selection of cloning templates when a CNN is used in extracting object regions from noisy images. Expand
Variance as a Stopping Criterion for Genetic Algorithms with Elitist Model
TLDR
It is established theoretically that the variance of the best fitness values obtained in the iterations can be considered as a measure to decide the termination criterion of a GA with elitist model EGA. Expand
Image enhancement incorporating fuzzy fitness function in genetic algorithms
TLDR
The authors attempt to demonstrate the suitability of GAs in the automatic selection of the image enhancement operator for an unknown image by selecting automatically an optimum set of 12 parameter values of a generalized enhancement function that maximizes some fitness function. Expand
Selection of Optimal Set of Weights in a Layered Network Using Genetic Algorithms
TLDR
An attempt to demonstrate genetic algorithms effectiveness to search a global optimal solution to select a decision boundary for a pattern recognition problem using a multilayer perceptron using a new concept of nonlinear selection for creating mating pools and a weighted error as a fitness function. Expand
On object background classification
Limitations of some of the existing threshold selection techniques have been discussed. The approximate minimum error thresholding algorithm of Kittler and Illingworth has been modified considering aExpand
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